While I have been using
ipython for a long time, I never really it more than just checking whether some code snippets working as expected. (Well, I tried to play with the parallel computing framework with
ipython, but I never put it into production.) Just recently, I start to look into the
ipython web-based notebook feature more carefully. It is great and make me think the
ipython will make a python programmer or someone uses python for data analysis much more productive. (I used to envy the “RStudio” in the R-lang land, now, we python programmer finally have something more competitive.)
d3.js. This will enable to create more fancier visualization in an interactive way all in a browser.
My weekend hacking results are hosted at github . I think there is a great potential to make thing like this working better. (For example, can we have a pythonic backend of d3.js? 🙂 ) It definitely worth to mess it around to see more use like this.